Detection of a Salmonellosis Outbreak using Syndromic Surveillance in Georgia

Evidence about the value of syndromic surveillance data for outbreak detection is limited. In July 2018, a salmonellosis outbreak occurred following a family reunion of 300 persons held in Camden County, Georgia, where one meal was served on 7/27/2018 and on 7/28/2018.

Objective: Describe how the Georgia Department of Public Health (DPH) used data from its State Electronic Notifiable Disease Surveillance System (SendSS) Syndromic Surveillance (SS) module for early detection of an outbreak of salmonellosis in Camden County, Georgia.

June 18, 2019

Using Discharge Diagnoses for Early Notification of Reportable Diseases in Georgia

The Georgia DPH has used its State Electronic Notifiable Disease Surveillance System (SendSS) Syndromic Surveillance (SS) module to collect, analyze and display analyses of ED patient visits, including DDx data from hospitals throughout Georgia for early detection and investigation of cases of reportable diseases before laboratory test results are available. Evidence on the value of syndromic surveillance approaches for outbreak or event detection is limited.

January 25, 2018

Responder Safety, Tracking, and Resilience — Georgia, 2016 –2017

During an emergency, the state of Georgia depends on public health staff and volunteers to respond. It is imperative that staff are safe before, during and after deployment. Emergency response workers must be protected from the hazardous conditions that disasters and other emergencies create1. In October 2016 and September 2017, Hurricanes Matthew and Irma caused widespread evacuation of Georgia residents, initiating a tremendous sheltering effort. Hundreds of public health responders were deployed to assist with sheltering and other aspects of the response.

January 21, 2018

Improving Timeliness of Georgia Emergency Room Data

Timeliness of emergency room (ER) data is arguably its strongest attribute in terms of its contribution to disease surveillance. Timely data analyses may improve the efficacy of prevention and control measures. There are a number of studies that have looked at timeliness prior to the advent of Meaningful Use, and these studies note that ER data were not fast enough for them to be useful in real time2,3. However, the change in messaging practices in the Meaningful Use era potentially changes this.

January 21, 2018

Rapidly Adapting Flexible Surveillance Systems for Emergent Event Response

Georgia Department of Public Health (DPH) epidemiologists have responded to multiple emergent outbreaks with diverse surveillance needs. During the 2009 H1N1 influenza response, it was necessary to electronically integrate multiple reporting sources and view population-level data, while during the 2014–2015 West African Ebola epidemic, it was necessary to easily collect and view individual level data from travelers to facilitate early detection of potential imported Ebola disease.

August 03, 2017

Using Syndromic Surveillance Alert Protocols for Epidemiologic Response in Georgia

DPH uses its State Electronic Notifiable Disease Surveillance System (SendSS) Syndromic Surveillance (SS) Module to collect, analyze and display results of emergency department patient chief complaint data from hospitals throughout Georgia.


Describe how the Georgia Department of Public Health (DPH) uses syndromic surveillance to initiate review by District Epidemiologists (DEs) to events that may warrant a public health response (1).

August 26, 2017

School Health: A Novel School Nurse Clinic Surveillance Project in Coastal Georgia

The Syndromic Surveillance Program (SSP) of the Georgia Department of Public Health collects chief complaint data from hospitals to characterize health trends in near real time. These data were critical for situational awareness during the 2009 H1N1 pandemic. In 2012, SSP and the Effingham County Schools began a project to collect syndromic surveillance data from school clinics.

November 27, 2017

A comparison of syndromic surveillance chief complaint data and discharge data in a pediatric hospital system during 2009 H1N1

The Syndromic Surveillance Program (SSP) of the Acute Disease Epidemiology Section of the Georgia Division of Public Health, provides electronic influenza- like- illness (ILI) data to the Center for Disease Control and Prevention’s Influenza-like Illness Surveillance Network Program that characterizes the burden of influenza in states on a weekly basis.

June 07, 2019

Data Visualization for Health Surveillance: Current Concepts and New Horizons


Wayne Loschen, Johns Hopkins University Applied Physics Laboratory (JHU-APL)

Karl Soetebier, MPW, Georgia Division of Public Health

Paul Picciano, PhD, Aprima Medical Software

Frank Hardisty, Pennsylvania State University

Date and Time

Wednesday, September 23, 2009


ISDS Research Committee

October 23, 2017

Syndromic Surveillance and Influenza-like Illness in Georgia

There are multiple sources of influenza and influenza-like illness (ILI) surveillance data within the state of Georgia. These include laboratory surveillance for influenza viruses, sentinel providers that report ILI, pneumonia and influenza mortality, influenza-associated hospitalizations, and influenza-associated pediatric deaths. The usefulness of emergency department-based (ED) syndromic surveillance (SS) data as an additional source of ILI surveillance data is currently being evaluated at national, state, and local levels.



July 30, 2018


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